Triple
T17388231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hubert Gessner |
E422743
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Reumannhof
Reumannhof is a prominent early 20th-century municipal housing complex in Vienna, Austria, exemplifying the city’s Red Vienna social housing architecture.
|
E1265545
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Reumannhof | Statement: [Hubert Gessner, notableWork, Reumannhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reumannhof Context triple: [Hubert Gessner, notableWork, Reumannhof]
-
A.
Hartmannshof
Hartmannshof is a locality in Bavaria, Germany, that functions as an outer terminus on the Nuremberg S-Bahn commuter rail network.
-
B.
Haimhausen
Haimhausen is a small municipality in Upper Bavaria, Germany, known for its historic castle and rural setting north of Munich.
-
C.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
D.
Eilshausen
Eilshausen is a village and district within the municipality of Hiddenhausen in North Rhine-Westphalia, Germany.
-
E.
Schickenhof
Schickenhof is a small locality in Germany best known as the birthplace of Nobel Prize–winning physicist Johannes Stark.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Reumannhof Triple: [Hubert Gessner, notableWork, Reumannhof]
Generated description
Reumannhof is a prominent early 20th-century municipal housing complex in Vienna, Austria, exemplifying the city’s Red Vienna social housing architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Reumannhof Target entity description: Reumannhof is a prominent early 20th-century municipal housing complex in Vienna, Austria, exemplifying the city’s Red Vienna social housing architecture.
-
A.
Hartmannshof
Hartmannshof is a locality in Bavaria, Germany, that functions as an outer terminus on the Nuremberg S-Bahn commuter rail network.
-
B.
Haimhausen
Haimhausen is a small municipality in Upper Bavaria, Germany, known for its historic castle and rural setting north of Munich.
-
C.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
D.
Eilshausen
Eilshausen is a village and district within the municipality of Hiddenhausen in North Rhine-Westphalia, Germany.
-
E.
Schickenhof
Schickenhof is a small locality in Germany best known as the birthplace of Nobel Prize–winning physicist Johannes Stark.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a8b66288190b29bb82eff761902 |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019ffb34688190a0a69b069353ced8 |
completed | May 11, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_6a01a0585088819082a3cf1858cb2d99 |
completed | May 11, 2026, 9:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a0ee35348190a7d412a83ecd2acc |
completed | May 11, 2026, 9:27 a.m. |
Created at: April 10, 2026, 5:45 a.m.